| --- |
| license: openrail |
| base_model: |
| - stable-diffusion-v1-5/stable-diffusion-v1-5 |
| - lllyasviel/control_v11f1p_sd15_depth |
| tags: |
| - art |
| - controlnet |
| - stable-diffusion |
| - image-to-image |
| datasets: |
| - ChlaegerIO/SeasonScapes |
| --- |
| |
| # Controlnet - Roundshot webcams Googe Earth depth v1.0 |
|
|
| This checkpoint is a finetuned version based on the [the lllyasviel depth checkpoint](https://huggingface.co/lllyasviel/control_v11f1p_sd15_depth). It can be used in combination with **Stable Diffusion**, such as [stable-diffusion-v1-5/stable-diffusion-v1-5](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5). |
|
|
|
|
| The finetuning was done using an adapted version of [diffusers](https://github.com/huggingface/diffusers). For more details have a look at the [🧨 Diffusers docs](https://huggingface.co/docs/diffusers/api/pipelines/controlnet#diffusers.StableDiffusionControlNetPipeline). |
|
|
|
|
| This checkpoint corresponds to the ControlNet conditioned on **Google Earth rendered depth images**. |
|
|
| ## Model Details |
| - **Finetuned by:** Timo Kleger, Qi Ma |
| - **Model type:** Diffusion-based text-to-image generation model |
| - **Language(s):** English |
| - **License:** [The CreativeML OpenRAIL M license](https://huggingface.co/spaces/CompVis/stable-diffusion-license) is an [Open RAIL M license](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses), adapted from the work that [BigScience](https://bigscience.huggingface.co/) and [the RAIL Initiative](https://www.licenses.ai/) are jointly carrying in the area of responsible AI licensing. See also [the article about the BLOOM Open RAIL license](https://bigscience.huggingface.co/blog/the-bigscience-rail-license) on which our license is based. |
| - **Resources for more information:** [GitHub Repository](https://github.com/ChlaegerIO/SeasonScapes) |
| <!-- , [Paper](https://arxiv.org/abs/2302.05543). --> |
| <!-- - **Cite as:** |
|
|
| @misc{zhang2023adding, |
| title={Adding Conditional Control to Text-to-Image Diffusion Models}, |
| author={Lvmin Zhang and Maneesh Agrawala}, |
| year={2023}, |
| eprint={2302.05543}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV} |
| } --> |
| |
| ## More information |
|
|
| For more information, please also have a look at the [Diffusers ControlNet Blog Post](https://huggingface.co/blog/controlnet) and have a look at the [official docs](https://github.com/lllyasviel/ControlNet-v1-1-nightly). |
